Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Computer Science
Diao Hong-Bin
Qingdao Hotel Management College

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A Network Intrusion Detection Method Based on Improved ACBM Chen Shan; Diao Hong-Bin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In order to solve the problem which includes the difficulties of network intrusion detection, redundancy of network intrusion character, difficulties for feature matching, a network intrusion detection method based on improved ACBM algorithm is proposed in this article. The improved ACBM algorithm is used to achieve matching module, which add the filtering function for module improvement. The distribution characteristics of stability and the use of the bifurcated binary tree model is used to complete the feature classification. In the stable feature, the inter-class distance is used as the classification method of support vector machine, which has strong ability of generalization as well as high identification accuracy, and has the application foreground detection. Finally, the superiority of the proposed method is proved through the data in KDDCup99 database. It shows that the proposed network intrusion detection method by experiment, which combines the ACBM algorithm and the classification mechanism, has a better accuracy than LSSVM and SVM, and it is proved that  this method is very suitable for network intrusion detection under complex features environment. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4246
Co-Authors Chen Shan